{"id":"W6948724049","doi":"10.5061/dryad.18931zd3x","title":"Data from: Mating tactic influences body condition loss in Rocky Mountain bighorn rams (Ovis canadensis)","year":2023,"lang":"en","type":"dataset","venue":"DRYAD","topic":"","field":"","cited_by":0,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Calgary","funders":"Alberta Conservation Association","keywords":"Mating; Polygyny; Sire; Seasonal breeder; Mate choice; Mating system; Sexual selection; Reproduction","routes":{"ca_aff":true,"ca_fund":true,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"direct_labels":[],"prediction":{"model_version":"codex-gemma-dda1882f352a","candidate_categories":["metaepi_narrow","insufficient_payload"],"consensus_categories":[],"category_scores_codex":[0.001245025,0.0008387186,0.001070246,0.001130676,0.0002652262,0.0004647331,0.002803597,0.0007498763,0.0007164],"category_scores_gemma":[0.002270798,0.0009218139,0.00008373335,0.001665531,0.000212474,0.001139108,0.001375964,0.001599107,0.0801204],"about_ca_system_candidate":false,"about_ca_system_consensus":false,"about_ca_system_score_codex":0.001112228,"about_ca_system_score_gemma":0.0007620862,"about_ca_topic_candidate":true,"about_ca_topic_consensus":true,"about_ca_topic_score_codex":0.5615804,"about_ca_topic_score_gemma":0.5633079,"domain_scores_codex":[0.9939941,0.0005720464,0.00124023,0.00176495,0.001347994,0.001080725],"domain_scores_gemma":[0.9942712,0.00078163,0.001083358,0.003451779,0.0001358372,0.0002762257],"domain_codex":null,"domain_gemma":null,"domain_candidate":null,"domain_consensus":null,"study_design_codex":"not_applicable","study_design_gemma":"not_applicable","study_design_scores_codex":[0.00004561174,0.00007403611,0.001203313,0.0002192866,0.0002193742,0.001227986,0.00005171078,0.000119107,0.0002782669,0.000003070219,0.9964948,0.00006348182],"study_design_scores_gemma":[0.0009025409,0.0000426853,0.01009037,0.001087737,0.0004286942,0.00002782129,0.0004756584,0.001627736,0.00004758233,0.0003032887,0.9837202,0.001245633],"study_design_candidate":"not_applicable","study_design_consensus":"not_applicable","genre_codex":"dataset","genre_gemma":"dataset","genre_scores_codex":[0.02698378,0.0002235194,0.000001752899,0.0001269247,0.0009744859,0.0006618781,0.9706948,0.0003012499,0.00003158483],"genre_scores_gemma":[0.00457925,0.0001199667,0.00005166661,0.0002884122,0.0006875991,0.0001313259,0.9937715,0.0002423699,0.0001279241],"genre_candidate":"dataset","genre_consensus":"dataset","teacher_disagreement_score":0.079404,"threshold_uncertainty_score":0.9993232,"prediction_status":"machine_predicted_unvalidated"},"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.05384802887499839,"score_gpt":0.3471575945279708,"score_spread":0.2933095656529724,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}